REML random-effects meta-analysis of acute exercise transcriptome in human skeletal muscle (ExTraMeta, Amar 2021)
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Updated
Jun 12, 2026 - R
REML random-effects meta-analysis of acute exercise transcriptome in human skeletal muscle (ExTraMeta, Amar 2021)
Proyek ini menganalisis kinerja sistem antrian di Kantin GKU‑2 ITERA menggunakan pendekatan teori antrian (M/M/1 & M/M/2) untuk memahami pola kedatangan pelanggan, waktu pelayanan, dan dampaknya terhadap durasi tunggu
A comprehensive R-based data analysis project that examines housing rental patterns across multiple cities, utilizing statistical methods and visualization techniques to analyze 4,746 properties' data points including rent prices, locations, and amenities. The project employs various R libraries to clean, process, and visualize rental market trends
R scripts for analyzing Edar and Xedar gene expression data in mouse and rat tail development
A learning repository for R programming, covering data manipulation, visualization, and statistical analysis.
📊 Hands on R programming for Data Analytics & Statistics 📈 Practical scripts for visualization, insights & reporting 🧠 Learning by solving real world analytical problems. 🧪 Real-use-case R Programs for data science 📌 Covers dplyr, ggplot2, data cleaning & modeling
New-user active-comparator cohort study comparing SGLT2i vs DPP4i on HF hospitalization risk. Propensity score matching, Cox PH, IPTW — full protocol, SAP, and results report in R.
Anatomy-to-electric field modeling pipeline for non-invasive brain stimulation (tDCS, N=590). Modular, JSON-configured R/Python statistical tools -- mixed-effects GLMs, parcellation-based network analysis, PCA with label clustering -- adaptable to any spatially distributed multivariate data.
Hệ thống phân tích rủi ro mất mốc (de-peg) của Stablecoin sử dụng mô hình Logistic Regression với Cluster Standard Errors, tích hợp quản lý môi trường bằng renv
Statistik dengan Excel, Bahasa R
Reproducible ML pipeline evaluating temporal leakage in Expected Pass Turnovers (xPT) models for football analytics. Compares 4 algorithms (mixed-effects logistic, penalised logistic, random forest, XGBoost) across leakage-inclusive and leakage-corrected feature sets. Supporting code for manuscript under review.
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